-
Institution:
-
Yale University
-
Subject:
-
-
Description:
-
Staff. mw 2.30-3.45 QR (0) Through analysis of data sets using the R statistical computing language, study of a selection of statistical topics such as linear and nonlinear models, maximum likelihood, resampling methods, curve estimation, model selection, classification, and clustering. Weekly sessions in the Statistical Computing laboratory. After stat 242b and math 222a orb or 225a or b, or equivalents.
-
Credits:
-
3.00
-
Credit Hours:
-
-
Prerequisites:
-
-
Corequisites:
-
-
Exclusions:
-
-
Level:
-
-
Instructional Type:
-
Lecture
-
Notes:
-
-
Additional Information:
-
-
Historical Version(s):
-
-
Institution Website:
-
-
Phone Number:
-
(203) 432-4771
-
Regional Accreditation:
-
New England Association of Schools and Colleges
-
Calendar System:
-
Semester
Detail Course Description Information on CollegeTransfer.Net
Copyright 2006 - 2025 AcademyOne, Inc.